ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images.
Jamie Morris|Zehao Liu|Huizhi Liang|Sidhartha Nagala|Xia Hong
| Anthology ID: | DBLP:conf/cikm/MorrisLLNH23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5371-5375 |
| URL: | https://doi.org/10.1145/3583780.3615131 |
| DOI: | https://doi.org/10.1145/3583780.3615131 |
| DBLP: | conf/cikm/MorrisLLNH23 |
| BibTeX: |
@inproceedings{morris-2023-thyexp,
author = {Jamie Morris and
Zehao Liu and
Huizhi Liang and
Sidhartha Nagala and
Xia Hong},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {5371--5375},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615131},
doi = {https://doi.org/10.1145/3583780.3615131}
}